Audience
Enterprises interested in a data analytics platform to analyze traffic flow, visitor occupancy, entry point monitoring, etc.
About Flonomics
Apply Flonomics data analytics to better understand your brick & mortar location. Our 98% accurate IoT people counting technology analyses traffic flow, visitor occupancy, entry point monitoring and much more to help you turn insights into actions. It's important to utilize our information tool to better understand what's happening inside your organization. It’s time to level the playing field. We’ve taken metrics previously reserved for online retailers and unleashed them for the offline world. We’ve built a dashboard that quickly shows you the information you need, on any device. 100% web-based, secure and accessible anywhere 24/7. Our 98% verifiably accurate shopper counting system gives retailers the confidence to turn data into action. Accurate, reliable & easily installed, our sensors gather the data you need to know exactly how each of your stores are performing.
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PeopleCounter.app is a simple online people counter built to count visitors in real time, track occupancy, and export reports from any device. It is designed for fast setup with no app download, no hardware, and no complicated onboarding, open the tool on a phone, tablet, or computer, set a capacity limit if needed, and start counting entries and exits right away. It helps venues, events, retail spaces, clubs, schools, churches, buildings, and front-of-house teams keep an accurate live count of how many people are inside at any moment. Users can tap to count people in and out, monitor current occupancy, avoid going over capacity, and keep staff aligned during busy periods. PeopleCounter.app also supports multi-device counting, so more than one person can track attendance from different doors or areas while the count stays coordinated. For events, it works as an attendance tracker that helps teams monitor real-time capacity, track guest flow, and understand turnout.
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RetailFlux
RetailFlux people counting software offers both the lowest cost solution and the most sophisticated analytic technology in the market. RetailFlux people counting solutions are based on our property Artificial Intelligence (AI) technology, called FluxVision. Our FluxVision based counting solution provides best-in-class data quality with the lowest implementation cost possible thanks to its AI core. That is, regular CCTV cameras are transformed into the World’s most accurate and versatile counter devices with the help of our unique AI software platform. The exclusive features brought by RetailFlux people counters include staff exclusion, occupancy and shopping time metrics.
Shopper footfall and conversion reports have become the most important metric in 21th century brick-and-mortar retail management tasks. Visitor counting numbers combined with sales figures reflect the most basic and beneficial KPI, namely conversion rate, in order to evaluate the performance of stores.
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Ipsos Retail Performance
People counters are the foundation of our retail technology suite and are key to optimizing store performance. More than simply tracking the number of people who walk through the door, the data these solutions capture supports effective decision-making at a strategic and operational level – underpinning everything from staff scheduling to trend analysis and retail occupancy levels. Using cutting-edge people counting sensors and software, you can identify busy periods then deploy staff in the right places at the right time, and see how popular a display or product range is. With real-time footfall data and analytics, you can also see whether the layout and marketing activities are effective by understanding dwell time, engagement and conversions. Our people counting sensors guarantee at least 95% accuracy, allowing you to track footfall on an hour-by-hour basis to uncover current buying behavior and forecast trends.
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Amazon Rekognition
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With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Company Information
Flonomics
Founded: 2010
United States
www.flonomics.com
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